With our Field Delineation Model, we accurately detect field boundaries with exceptional precision. The Crop Classification Model identifies crop types based on extensive ground-data, providing valuable insights. Leveraging deep neural network models, SupplyValid’s Field Delineation Model detects field boundaries with exceptional accuracy, surpassing current datasets by 12-15%. By utilizing high-resolution images with a pixel density of 1 meter and extensive training data, our model achieves an exceptional intersection of union accuracy score ranging from 0.94 to 0.96.
Our Productivity Zones tool allows farmers to assess variable growing conditions, optimizing resource allow SupplyValid’s Crop Classification Model accurately detects crop types with over 90% precision, leveraging extensive ground-data. It can identify crops dating back to 2015 and early stages of each growth season, including seeded acres. Additionally, we are enhancing our capabilities with crop-specific yield-data from over 14,000 producers across 5 years.
With SupplyValid’s Productivity Zones tool, farmers can assess variable growing conditions in their fields, categorized into low, medium, and high zones. Our algorithm-driven Zoning product is developed using 6-year NDVI/EVI data, empowering clients to select between 3, 5, or 7 zones for analysis.
SupplyValid’s proprietary algorithm upscales Sentinel-2 images, generating high-resolution base maps for precise assessments. Validated across 30+ countries, our tools revolutionize crop assessment globally.
Unlock the Potential of AI, ML, and GIS for Your Agriculture Business Harness the power of AI, ML, and GIS with SupplyValid’s advanced crop assessment services. Revolutionize your agricultural practices and make informed decisions for greater success.